It is evident that Apple has to get its act together when it comes to AI, because companies like Google and Microsoft have passed it from the left and the right simultaneously and that the gap is probably increasing because we have no news of Apple launching its own AI in the near future. However, even though we all had this Apple market analysis error in mind, AppleInsiders has echoed reports from numerous developers who have analyzed the iOS code, where they have found many tools based on machine learning and AI. Could Apple not be as behind as we think? Let’s see it below.
Apple’s first steps in AI and machine learning
Apple has been developing machine learning in iOS for several years. His first steps took place in keyboard, where Apple developed a system that, through predictive learning, could understand what letter the user was pressing on the screen. This did not stop there, but rather aimed to predict what word the user typed next.
In 2023, Apple continues to develop such learning in almost every corner of iOS. This is found in the way in which the Users search for photos, interact with Siri, see event suggestions, among other features. This means that this system benefits the user, improving their life through the device, always under the principles of security and privacy. Next, we’ll look at another area where both tools have substantially improved the iPhone.
Cameras and Face ID
The revolutionary unlocking system for our iPhone known as Face ID and camera They have obtained extensive development thanks to the AI and machine learning systems that Apple improves with each generation. Specifically, Face ID projects a total of 30,000 infrared points to create a depth map of the user’s face and that is combined with a 2D infrared scan.
This system is enhanced thanks to the aforementioned methods, since stores user informationwhich allows it to be recognized more and more in adverse circumstances such as with sunglasses or when we have the mobile phone in a more lateral position than in front of us to unlock the iPhone.
On the other hand, the camera is one of Apple’s great advances in AI and machine learning. Specifically, technologies such as Neural Engine increases camera capabilities like Deep Fusion which launched with the iPhone 11 and is present in all subsequent generations. Said system, when you take a photo, takes 9 photographs with different values of focus, depth and noise with the objective of improve the quality of photographs to obtain images of greater sharpness and very interesting visual quality.
Continuing with the thread in question, the Photos application is also available on macOS and iPadOS. This application uses various machine learning algorithms and artificial intelligence to help generate unique memories through joining different photos and videos that allow generate stories beautiful from a trip with your family, partner and friends.
In conclusion, although we have highlighted the important development that iOS is having thanks to machine learning and AI, WatchOS It is one of the operating systems that is also gaining great development as a result of the growth and development of technology and that Apple engineers are applying it to hand washing, heart health and more.